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Internship Coursera Data Science Jobs (NOW HIRING)

... in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or a closely ... Data Analyst, Coursera/Google Data Analytics) • Support Board‑level reporting needs in ...

Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data ... This is a builder's internship: you'll write real code, work with real data, and ship work that ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

Master's degree in Data Science, Engineering, Computer Science, Business Analytics, Statistics, or ... Data analytics certifications (e.g., Microsoft Power BI Data Analyst, Coursera/Google Data ...

... internship experience applying data science to product or business problems • An AI-native mindset, with exposure to or interest in LLM analytics, AI product measurement, or evaluating the impact ...

Our Data Science team sits at the heart of innovation, driving impactful solutions across customer ... internship/work experience.

Efficiency Profile * 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Data Scientist

Boston, MA · On-site

$160K - $180K/yr

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

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How much do internship coursera data science jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for internship coursera data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

Is Coursera worth it for data science?

Coursera offers data science courses and specializations that can help internship candidates develop skills in programming, statistics, and machine learning. The platform provides flexible learning options and recognized certifications, which can enhance a candidate's resume. However, the value depends on individual goals and the quality of specific courses chosen.

Which internship is best for data science students?

The best internship for data science students typically offers hands-on experience with data analysis, machine learning, and programming tools like Python or R. Look for programs that provide mentorship, real-world projects, and opportunities to develop skills in data visualization and statistical modeling.

What is the difference between Internship Coursera Data Science vs Data Analyst?

AspectInternship Coursera Data ScienceData Analyst
Required CredentialsCoursera Data Science certification, basic programming skillsBachelor's in related field, often with data analysis tools knowledge
Work EnvironmentOnline, project-based, often part-time or temporaryOffice or remote, ongoing role within organizations
Employer & Industry UsageEducational platforms, startups, tech companies for trainingBusinesses across industries for data-driven decision making
Search & Comparison IntentLearning, entry-level experience, career explorationJob opportunities, skill requirements, career advancement

Internship Coursera Data Science provides foundational knowledge and practical experience through online courses, ideal for beginners. Data Analyst roles involve applying analytical skills in real-world settings within organizations. While internships focus on learning, data analyst positions are ongoing jobs requiring more experience and responsibility.

Is it possible to get a job with a Coursera certificate?

A Coursera Data Science internship certificate can enhance a candidate's resume and demonstrate relevant skills such as programming, data analysis, and machine learning. However, securing a job typically requires additional qualifications, experience, and a strong portfolio, as employers value practical application and proven expertise alongside certifications.

Can I do an internship in Coursera?

Coursera offers internship opportunities in data science and related fields for students and recent graduates, often requiring relevant skills in programming, data analysis, and machine learning. These internships typically involve remote work and may require applying through partner companies or Coursera's career portal, with specific eligibility criteria and application processes.
What cities are hiring for Internship Coursera Data Science jobs? Cities with the most Internship Coursera Data Science job openings:
What are the most commonly searched types of Coursera Data Science jobs? The most popular types of Coursera Data Science jobs are:
What states have the most Internship Coursera Data Science jobs? States with the most job openings for Internship Coursera Data Science jobs include:

Investment Data Science Intern (Summer 2027)

Walleye Capital Internships

New York, NY • On-site

$14K/mo

Temporary, Internship

Re-posted 17 days ago


Job description

Position: Investment Data Science Intern (Summer 2027)
Location: New York, NY
Firm Overview:
Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Fundamental Equities, Quant, and Volatility strategies.
At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team's success. Our people are our greatest asset, and we've cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity.
Position Overview:
Walleye Capital is seeking Investment Data Science Interns for Summer 2027. As an intern, you'll engage in high-impact projects focused on alternative data research supporting long/short discretionary investment strategies. Your work may include developing thematic investment theses, exploring new datasets, or conducting stock-specific analyses. You'll have the opportunity to collaborate with senior professionals, gain hands-on experience with real-world hedge fund data, and enhance your analytical and statistical skills.
The internship is 10 weeks in length and will take place in New York City from June to August 2027.
Responsibilities:
  • Partner with the Central Data Science team on research initiatives, supporting both scalable production insight pipelines and ad hoc analytics to inform investment decisions.
  • Collaborate with discretionary equity L/S portfolio managers and analysts to understand their investment theses and identify areas where alternative or fundamental data can augment conviction; develop and prototype predictive models or analytics tools that help surface patterns across sectors, tickers, or themes.
  • Conduct exploratory data analysis (EDA), signal validation, and performance attribution studies using historical and real-time data sets.
  • Assist in the evaluation and onboarding of new data vendors by performing quantitative and qualitative assessments of potential alpha signals.
  • Learn and implement core data science and data engineering workflows on the firm's Cloud and Linux infrastructure.
  • Clean, transform, and join large structured and unstructured datasets from internal and external sources; maintain reproducibility and robustness through version-controlled code, documentation, and adherence to the team's development standards; utilize AI to enhance processes and analyses.

We seek individuals who:
  • Are pursuing an undergraduate or non-MBA master's degree in a STEM-related field, with an expected graduation date between December 2027 and June 2028.
  • Demonstrate strong quantitative and analytical skills, with a solid foundation in programming, statistics, and problem-solving capabilities.
  • Are self-motivated, adaptable, and detail-oriented, with the ability to manage multiple priorities in a fast-paced environment.
  • Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity and improve processes and workflows.
  • Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning.

Pay Range:
The expected monthly pay for this position is $14,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from New York City (domestic travel only).
The deadline to apply for this opportunity is Friday, July 31 at 11:59pm ET. For questions about the process, please review our Campus FAQs.
Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com.
Personal data you provide will be processed in accordance with Walleye Capital LLC's Privacy Notice available at: https://www.walleyecapital.com/.